Rate My Professor Vladislav Orekov

Vladislav Orekhov is a Professor in biophysics in the Department of Chemistry and Molecular Biology at the University of Gothenburg, where his research group is hosted at the Swedish NMR Centre, one of the major NMR facilities in Scandinavia and Europe. His work is dedicated to advancing nuclear magnetic resonance (NMR) spectroscopy through the development of innovative experiments, data collection approaches, and signal processing algorithms. Key methodologies include non-uniform sampling, compressed sensing, and the application of artificial intelligence and neural networks. For instance, his group has developed a deep neural network based on the WaveNet architecture to identify patterns in 2D NMR spectra, incorporating point spread function as prior knowledge for reconstruction of non-uniformly sampled spectra and enabling virtual homo-decoupling in 2D methyl-¹H,¹³C-HMQC spectra. These techniques provide atomic-level information on spatial structure, dynamics, and interactions of biomolecular components.

Orekhov's research specializations encompass protein dynamics, including folding and allostery, as well as the structure, interactions, and function of intrinsically disordered proteins. His substantial influence in structural biology and NMR methodology is evidenced by over 7,900 citations on Google Scholar. Prominent publications include "Solution structure of the integral human membrane protein VDAC-1 in detergent micelles" (Science, 2008; 802 citations), "Accelerated NMR spectroscopy by using compressed sensing" (Angewandte Chemie, 2011; 622 citations), "Analysis of non-uniformly sampled spectra with multi-dimensional decomposition" (Progress in Nuclear Magnetic Resonance Spectroscopy, 2011; 400 citations), "Solution NMR-derived global fold of a monomeric 82-kDa enzyme" (Proceedings of the National Academy of Sciences, 2005; 292 citations), "NMR studies of Brownian tumbling and internal motions in proteins" (Progress in Nuclear Magnetic Resonance Spectroscopy, 2001; 278 citations), and "Accelerated nuclear magnetic resonance spectroscopy with deep learning" (Angewandte Chemie, 2020; 227 citations). Orekhov organizes international workshops on biomolecular NMR advanced tools, AI perspectives, protein dynamics, and machine learning, targeting PhD students and researchers. His group welcomes motivated students and young researchers for collaborative projects.